Are you a Data Engineer with strong DBT experience looking to work on large-scale, high-impact data platforms
We're building a Manila-based offshore engineering team and looking for skilled Data Engineers to help design, build, and optimize scalable data solutions powering multiple business domains including gaming, sportsbook, payments, and marketing.
This is an exciting opportunity to work in a modern cloud-based ecosystem, handling both batch and real-time data pipelines, with DBT as the core of the data transformation layer.
Work Setup
- Hybrid: 2x onsite per week
- Office Location: Mandaluyong (Rockwell Business Center, Sheridan)
- Schedule: Monday to Friday, 10:00 AM to 7:00 PM
What You'll Do
- Design, build, and maintain scalable data pipelines integrating internal and external data sources
- Develop batch and real-time data processing workflows
- Build, optimize, and maintain DBT models, tests, macros, and documentation
- Develop data integrations with CRM, marketing, and financial platforms
- Ensure data quality, reliability, and observability through validation and monitoring frameworks
- Build data APIs and services for internal and external consumption
- Troubleshoot and resolve production issues
- Work closely with Product, BI, Engineering, and Infrastructure teams
- Participate in code reviews and Agile ceremonies
Must-Have Qualifications
- Strong hands-on experience with DBT (models, tests, macros, documentation) - Main Qualification
- Proven experience building and maintaining data pipelines using DBT and Apache Airflow
- Experience with streaming/real-time technologies such as Kafka, Spark, or Flink
- Strong programming skills in Python and/or Java
- Advanced SQL skills and database experience (MySQL, PostgreSQL, MongoDB, Elasticsearch)
- Experience working with AWS cloud services
- Strong understanding of modern data architectures (Data Lakes / Lakehouse)
- Experience building APIs / REST services
- Strong data modelling and data quality practices
- Excellent communication and collaboration skills
Nice to Have
- Exposure to AI-assisted development tools (Cursor, Claude)
- Experience with marketing data (campaigns, rewards, segmentation)
- Work experience under gaming or gambling industry
